{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mne\n",
    "import numpy as np\n",
    "import pyedflib\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.autograd import Variable\n",
    "\n",
    "from IPython.display import Image\n",
    "from IPython.core.display import HTML \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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/ab/V9RKe6+vDQ76p9SB1iqfm1zXN/It1cTn9Rzupf4tLMrIItyshoo9RrdgtH2kYdeS1n0W/aq9mR7P0f6X9H+jXbIfpHyH/AHTIf5mH9+f/AEcT/9Xt+nn7N9b+rYznyc6jGzameAYH4N//AJ6oWV17L6VXkdStd0rHybcbHOXjWWNca8h9Vhx+oV2htbmOvxbXUf6T1PVWr18uwurdJ6w2RUy12DlwB/NZW1tL7X/m1U5leP8A9uLeQj1Hj+bJl1EJd4gfXH+rUs/rvUrOm9PdfS0Pue9lVIdO0PsOxr7NsO2V/T2/4T+bWgqXVn9N+ymjqTg2jIc2sTIl5c30mtc3/C+rs9H/AIVFjeMo+ufVaHjKutOTjMDLLaXsqBdRY5zPWx343uqub6dn6vlfpP8AB211+p6q9AXGtwPqfiZBtyuoh7abQ52PY5jW+o17qw/JbWxllvp5GO+v9J+i9ej07foLskhfVTy31k+sOfj546dgE1ub6YLmtY6yyy4ubTRV9o/V62e39JZb/wCBen+kL9VPrBldRssxMsi17KxdVeGhjnNLnU2VX1t/R+rTaz6dX6O3/rfqWm6/h/V7Ne/9oZVWPdVWG2uc9gArM2NbkV3bq9n07Gb/AOWi9BxOh4LnVYOSzIyb2b3OL2l5rqcaIrrr2trox7t9Wytn6O3+c/Soa34fy6qdlcPkfXPqd15twyyjHlprY+l1gDLHGnFdmXNez03ZdjP0TGbP9F+k+mu3JAEnQDkrj8noX1cvyqrcXqdFAtdNDf0TyPULB+qPe72MsdkUej/Os/WMf0/56lE30U9H0XqY6r02rN9M1OfubZUTO19bnU2ta/Tez1K3bH/uKPXepWdM6c/JpYLLi5lVQdO3fY4VtfZt/Mr3b9v5/wDNqx0/Bx+nYdWHjAtppENkySSd73vd+c+x7nPeg9Su6S+qzC6jdU1r2b312PDSGAy23lrme+v2Wf8ABpKeNq+uPV8Z4yrrnZOMwepZVZXWzfSHuotuxXUbbK31vrs9NmT9PZ/L9degLlsH6u/Vp+Qy5mY3LbbbuZSH1RbbWPV/Tei1r8p9Ldtuz/txdSkL6qea+tPX8zByK8LDPpvcxtlloa17z6ln2bHpobb+h32W/Tsu9jP/AAWqH1X+sGfl5z+n5zvWJZY+u0tayxrqLG42Tj3tp/QP22P/AEdtX8v+c/R2K31+v6vZb3U9RvbRkY9LrHu4LaD7bH3B7XVvxd3+k/R71H6v4n1ewsh1eDlMyc1zPTILm7mMrMPxq6awxuP6djf01Oz1d7P03817Brfgp31xP1hPRG5HUd+HU1wx3ZFF9rrRjX31Wejm4+TRRZUx+2yzF9T/AE3rXer/ADNi7ZJFTzvXXevV0Lp1Irr+15lFjqWGWejjNOda2r21/o2ejU1nsXRLBq/yh9cLbOaOi4wpbLT/AEnLi611dn0f0eHVSx3/AB63kzrfjX8v8JsUOEQ/SGMz/wAIn3P/AEi//9b0rq3TaOq9NyenX/zeTWWF0TtJ+hY3+XU/bYxVvq51G7P6Y37WNufiudi5zfC+r2WO4a3bc3ZkM2f4O5ai57q3+Q+rDr7QfsGWGY/VwI9sezD6j/1jd9nyfd/R/wDB/okDob+1kh6onH1+aH97rH/DehVHrFGHdhh+bccfHxracp1gIAnHsZlVNeXtd+jdbUzft96uggiRqFnfWDAvz+mupxyDax9drWEwH+m4Wek4/wArb7P+ERY3H6bkfVlt9mJXZbVbnZRvFt9ZqNrn3Ozvsjbn1M/Qeu9/pY1v6R+/0/euqXm1P1a6vkuOEyi2r1SwWZFjDW1gY/1HZdjnvd9ozf5eP/Oenj/oqa6/VXpKQ8dFPNdexelY2P1HGysu6tnXZc+iposs3CunFttx4Y57GejTTv8AV/RV2f19iP0RvR83Pf1DBtIsx63U/ZPTFJqGQ5uRe59eyu237VfR67bbfV/TfavTtVD629Ez8nL+24zHXMsqrqe1slw9Kx92wtrLLfQyG2uqt9F3qpvqj0bqGPnHOyq3U1sofQwPkOebLG3w1j3PtbRitq9Gn7R+ms/8+Lrt9VPT52HTn4WRg5AJoyqn02gGDssaa37Xf1XLm8/J6FXm47c6+zNt6fXZjP24/q1gvdjW+pcymv0nZFFmFj27Kv5q7/A1/ofS6ted5/1c6tjZWxtdtzGOJZbU1z9wNhv9Rux7WV3X7vRyvtVdv/Bf6R6Kns/q/jYWN0fHqwL/ALVjQXMyJBNhe51llry3/C2Wue+3/hUDP6Tg1WdS6jbkuxa8/FFGc4lpaG1tuZVcz1AfSexuS/8A4Oz9H+j/AJz1X+q/TMrpvS/SyobddbZe6oHcK/Udv9LcPa5359uz2et6n9dF+sHT7+odMfj0EeqH12tYTAeantu9Nx/lbPb/AC0lOB05v1VHVOlvpuyMfJwgaqC9jqacl76/spsyGvrbW7Lub+f+gvvs9L+d9OutdivNqvq11nJfZiejaz1yGvvsDmtYN/qHKsdY8sdfU39HTXh/6Ov/AKx6SkPsU879ZcPo2+7I6jk3VP6hhv6cKaQHOdW53q2vpr9K1/qN3bPVd+grT9Gp6Bm9Vf1Xp73sy6azTZjFvpBjLHer7sfYxzq7Lm2XMf8ApKvX+0P/AJz1VX+t3Rc7LvZmYrTa30hS+tsyNtnrfRY5ljq8j+Zv9F3rIP1R6N1CjPObk1upqqpspYHy1zzbYy7Yxlhfd9nxGVelU6/9LYl12+qnr1U6r1LH6V07I6hk/wA1jMLyBy48Mrb/AC7bC2titrnnu/b/AF4Ut16X0S0OudOl2c0TVSNv+D6fu9W73/0r0/0f6JAn7SvxxBNn5Y+qXl2/wm59WunX4PS2nMj7flvfl5xGn6a4+pYzlzf0LdmP7f8ARLVSSSoVSvcl7nudb4vDy/uv/9f1VQtqrurfVaxtldjS17HAFrmuG1zHtd7XNc1TSSU87022z6v5jOiZriem3u29Hy3kkAn/ALysix30bq/+0O/+kU/of52v0lr9VGYel5gwZ+2Giz7NtLQ71djvR2m39F/Obf539H++iZuDidQxLcPMqbdj3t22Vu4I/wCqa5rvcx7ffW9YlXUc76v2NxOtPdkdMLgzF6w7UsBO2unq37j936P7f/M3f4f0rPUTdvJlI9zUfzn6Uf3/AOtH+t+9FN03A62y7Cuzc26yGWWZNX6NtYLmtFWI9jWvstfW+x7/ALS27/tP/wAItxMCHAOaZBEgjghOnMTj9dZ1yzJwKek3Oxq7XXNysgMZY2sek849lldvvf8ArPpeypzN/wDhEbor+p2MyrM8Pa1+Q52Iy1rG2MpLa/0NjadzP0V/rsa/1LfVr/SrD+t/Vs6nNbh02ux6G112Oc15q3OtsdVvuyWB1lOLjNr32vqTfU/rGfdnHBvsffRbjuyK/WO+ysseyot9V36S2jI9bfT6vv8A0f8A1upXrSnr1zebmfWijqPU7sat12Hiiv7JjGoO9d9tbWbarWmqxlePlfpcq7fd+h9X9XXSLzvO+sXU8rMLvtNuNufFVNT217Wl7qGNZU5pdmW1en6ufv3/AGf6fp+l7ECQN/5Wp9BqLjWwv1cWgugFomNfY/3N/tIPU35LOnZT8STktpsNAaA53qBrvS2sd7Xu3/mqh9VuqZPU+l+rlwb6LbMd9jRtbYazt9UM/Nc5v87/AMN6iJ9ZM/JwOk2X4sNuLq622EbhX6j21Ou2n2/o9/s3+z1EVNDp9/1tbldLZl1i3FyWvtzrtrGOpmrdTiWt3MdvryG/z1VH+E9L/A+pf0a81p+sHVMO12VXkXWmgk2UW2utD2iz0jTfVY3bi3ZP87h/Zv8AB+nZ9D9XXpSQN/y7KcrrtPV7xiVdKudjOdc4ZGQA1wrrNN4rtNVjm+r6eb9kf6f/AG5+g9VR6A3rrLM4dXJcw3k4biWT6JLtrXspH841u337/wBJ/oKbPV9TXWFm9ays7Js6T9X4fksd6eX1Fw3UYv7/APJy81v+DxWfQt/pX0LECaXRgZHTpuT8sR4r9Y6llZOSeg9GfGe9oOXlcsw6Xf4V/wC9mXN/oeN/6EW+nQtPp3T8XpmDTgYbNmPjt2sHf95znH8573+9/wDLQ+ldJxOk4v2bFDnbnGy66w7rbbHfzmRkW/4W6xXUgOp3TOQrgj8o18Zy/eKkkkkVj//Q9VSSSSUpRsrrtrdVa0WV2AtexwBa5pEOa5rvpNcpJJKefPR+qdFLrfq89t2JJc7o+Q4isT7nfs/K9z8Rz3t/mLfUxP0r/wCZVrA+s3TsvI+xX78DqP8A3Cyx6dh1c2aNfSymO2e1+NZatZVs7p2B1Gg4+fj15NR4ba0OgkbdzN30H/y2IVW32MnuRl/OCz+/H5/8L99xPrhl4uOxnr4rbzXj5OUyx1hpdOOKj9kx7K2uc7Iy/W/R1/8AAb/Tt9NWfqzXhMd1GvGxhQ/HyRj22mw2vsiqnJrdbY8B1bq/tfp/Zv5uiz1VAfVzNwyP2P1S6ioOBGJlj7XQA0Qyur1nMy6G/wBTLSbm/W3E2jI6XjZ+4nfbhX+kQPE0ZzWe7/0KSvuD+avbB+WcT/ePtn/n+n/nu8uK6vkdI/aOW7Kxn49VOQ+vKdVaWWFleKOpWZ78eNv2Z/8ARvUrf6nr+n/hbvTWwfrUWWenf0fqlR7uGOLW/wCfiWXqX/OnpsycbODuIOFkT8P5lLiHdRw5P3T9NXQ6VXi19Oxm4lH2Wj02uZQYlm4b3Ms9N1jHW7nfpX+pZ+k/wlih1zJrxOjZuVZjnMZRQ+x2MP8ACBrS70+HfS/qqg761Vhza6Ok9UunQFuI5jY/rZLsdqc9T+tGQ5zMTo7MVpEsvzshgE/ysfCGXZ/4IxLiCvZn1qP96UYuRgfstnWcWr7NQ932t9FT3ZbnNmuivNbl9Px7/wClenbc3Fv/AMLi5H81/hPT6Hqn1g6X0xwpvtNmW8fosKgG3IeYLmivHr3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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 52,
     "metadata": {
      "image/jpeg": {
       "height": 500,
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename = \"../Electrode-placements-of-32-channels-according-to-the-international-10-20-system.jpeg\", width=500, height=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = \"../train/01_tcp_ar/00000005/s03_2010_10_02/00000005_s03_a00.edf\"\n",
    "filename = \"../train/02_tcp_le/00000050/s01_2006_08_06/00000050_s01_a01.edf\"\n",
    "f = pyedflib.EdfReader(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [],
   "source": [
    "n = f.signals_in_file\n",
    "signal_labels = f.getSignalLabels()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['EEG FP1-LE',\n",
       " 'EEG FP2-LE',\n",
       " 'EEG F3-LE',\n",
       " 'EEG F4-LE',\n",
       " 'EEG C3-LE',\n",
       " 'EEG C4-LE',\n",
       " 'EEG A1-LE',\n",
       " 'EEG A2-LE',\n",
       " 'EEG P3-LE',\n",
       " 'EEG P4-LE',\n",
       " 'EEG O1-LE',\n",
       " 'EEG O2-LE',\n",
       " 'EEG F7-LE',\n",
       " 'EEG F8-LE',\n",
       " 'EEG T3-LE',\n",
       " 'EEG T4-LE',\n",
       " 'EEG T5-LE',\n",
       " 'EEG T6-LE',\n",
       " 'EEG FZ-LE',\n",
       " 'EEG CZ-LE',\n",
       " 'EEG PZ-LE',\n",
       " 'EEG OZ-LE',\n",
       " 'EEG PG1-LE',\n",
       " 'EEG PG2-LE',\n",
       " 'EEG EKG-LE',\n",
       " 'EEG 26-LE',\n",
       " 'EEG 27-LE',\n",
       " 'EEG 28-LE',\n",
       " 'EEG 29-LE',\n",
       " 'EEG 30-LE',\n",
       " 'EEG 31-LE',\n",
       " 'EEG 32-LE',\n",
       " 'PHOTIC PH',\n",
       " 'DC1-DC',\n",
       " 'DC2-DC',\n",
       " 'DC3-DC',\n",
       " 'DC4-DC',\n",
       " 'DC5-DC',\n",
       " 'DC6-DC',\n",
       " 'DC7-DC',\n",
       " 'DC8-DC']"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "signal_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['EEG FP1-REF',\n",
       " 'EEG FP2-REF',\n",
       " 'EEG F3-REF',\n",
       " 'EEG F4-REF',\n",
       " 'EEG C3-REF',\n",
       " 'EEG C4-REF',\n",
       " 'EEG P3-REF',\n",
       " 'EEG P4-REF',\n",
       " 'EEG O1-REF',\n",
       " 'EEG O2-REF',\n",
       " 'EEG F7-REF',\n",
       " 'EEG F8-REF',\n",
       " 'EEG T3-REF',\n",
       " 'EEG T4-REF',\n",
       " 'EEG T5-REF',\n",
       " 'EEG T6-REF',\n",
       " 'EEG A1-REF',\n",
       " 'EEG A2-REF',\n",
       " 'EEG FZ-REF',\n",
       " 'EEG CZ-REF',\n",
       " 'EEG PZ-REF',\n",
       " 'EEG ROC-REF',\n",
       " 'EEG LOC-REF',\n",
       " 'EEG EKG1-REF',\n",
       " 'EMG-REF',\n",
       " 'EEG 26-REF',\n",
       " 'EEG 27-REF',\n",
       " 'EEG 28-REF',\n",
       " 'EEG 29-REF',\n",
       " 'EEG 30-REF',\n",
       " 'EEG T1-REF',\n",
       " 'EEG T2-REF',\n",
       " 'PHOTIC-REF',\n",
       " 'IBI',\n",
       " 'BURSTS',\n",
       " 'SUPPR']"
      ]
     },
     "execution_count": 273,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "signal_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(36, 290500)\n"
     ]
    }
   ],
   "source": [
    "sigbufs = np.zeros((n, f.getNSamples()[0]))\n",
    "print(sigbufs.shape)\n",
    "for i in np.arange(n-3):\n",
    "    sigbufs[i, :] = f.readSignal(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 12))\n",
    "for i in range(5):\n",
    "    plt.plot(np.arange(1, sigbufs.shape[1]+1), sigbufs[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = open(\"../train/02_tcp_le/00000050/s02_2006_08_06/00000050_s02_a00.lbl\", \"r\")\n",
    "labels = labels.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'version = lbl_v1.0.0',\n",
       " '',\n",
       " 'montage = 0, FP1-F7: EEG FP1-LE --  EEG F7-LE',\n",
       " 'montage = 1, F7-T3:  EEG F7-LE  --  EEG T3-LE',\n",
       " 'montage = 2, T3-T5:  EEG T3-LE  --  EEG T5-LE',\n",
       " 'montage = 3, T5-O1:  EEG T5-LE  --  EEG O1-LE',\n",
       " 'montage = 4, FP2-F8: EEG FP2-LE --  EEG F8-LE',\n",
       " 'montage = 5, F8-T4:  EEG F8-LE  --  EEG T4-LE',\n",
       " 'montage = 6, T4-T6:  EEG T4-LE  --  EEG T6-LE',\n",
       " 'montage = 7, T6-O2:  EEG T6-LE  --  EEG O2-LE',\n",
       " 'montage = 8, A1-T3:  EEG A1-LE  --  EEG T3-LE',\n",
       " 'montage = 9, T3-C3:  EEG T3-LE  --  EEG C3-LE',\n",
       " 'montage = 10, C3-CZ:  EEG C3-LE  --  EEG CZ-LE',\n",
       " 'montage = 11, CZ-C4:  EEG CZ-LE  --  EEG C4-LE',\n",
       " 'montage = 12, C4-T4:  EEG C4-LE  --  EEG T4-LE',\n",
       " 'montage = 13, T4-A2:  EEG T4-LE  --  EEG A2-LE',\n",
       " 'montage = 14, FP1-F3: EEG FP1-LE --  EEG F3-LE',\n",
       " 'montage = 15, F3-C3:  EEG F3-LE  --  EEG C3-LE',\n",
       " 'montage = 16, C3-P3:  EEG C3-LE  --  EEG P3-LE',\n",
       " 'montage = 17, P3-O1:  EEG P3-LE  --  EEG O1-LE',\n",
       " 'montage = 18, FP2-F4: EEG FP2-LE --  EEG F4-LE',\n",
       " 'montage = 19, F4-C4:  EEG F4-LE  --  EEG C4-LE',\n",
       " 'montage = 20, C4-P4:  EEG C4-LE  --  EEG P4-LE',\n",
       " 'montage = 21, P4-O2:  EEG P4-LE  --  EEG O2-LE',\n",
       " '',\n",
       " 'number_of_levels = 1',\n",
       " '',\n",
       " 'level[0] = 1',\n",
       " '',\n",
       " \"symbols[0] = {0: '(null)', 1: 'spsw', 2: 'gped', 3: 'pled', 4: 'eyem', 5: 'artf', 6: 'bckg', 7: 'seiz', 8: 'fnsz', 9: 'gnsz', 10: 'spsz', 11: 'cpsz', 12: 'absz', 13: 'tnsz', 14: 'cnsz', 15: 'tcsz', 16: 'atsz', 17: 'mysz'}\",\n",
       " '',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 0, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 1, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 2, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 3, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 4, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 5, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 6, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 7, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 8, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 9, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 10, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 11, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 12, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 13, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 14, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 15, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 16, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 17, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 18, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 19, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 20, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 88.0000, 21, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " '']"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels.split('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "tse_labels = open(\"../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a01.tse\", \"r\")\n",
    "tse_labels = tse_labels.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['version = tse_v1.0.0', '', '0.0000 352.0000 bckg 1.0000', '']"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tse_labels.split('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a02.tse_bi\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a01.lbl_bi\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a00.tse_bi\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a03.lbl_bi\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05.txt\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a03.lbl\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a03.tse\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a02.tse\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a02.lbl\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a00.lbl\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a00.tse\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a01.tse\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a01.lbl\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a00.lbl_bi\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a00.edf\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a03.tse_bi\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a01.edf\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a03.edf\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a02.edf\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a02.lbl_bi\n",
      "../train/02_tcp_le/00002936/s05_2003_01_07/00002936_s05_a01.tse_bi\n",
      "../train/02_tcp_le/00000005/s01_2009_02_13/00000005_s01.txt\n",
      "../train/02_tcp_le/00000005/s01_2009_02_13/00000005_s01_a00.lbl_bi\n",
      "../train/02_tcp_le/00000005/s01_2009_02_13/00000005_s01_a00.edf\n",
      "../train/02_tcp_le/00000005/s01_2009_02_13/00000005_s01_a00.lbl\n",
      "../train/02_tcp_le/00000005/s01_2009_02_13/00000005_s01_a00.tse\n",
      "../train/02_tcp_le/00000005/s01_2009_02_13/00000005_s01_a00.tse_bi\n",
      "../train/02_tcp_le/00000005/s06_2010_05_25/00000005_s06_a00.lbl_bi\n",
      "../train/02_tcp_le/00000005/s06_2010_05_25/00000005_s06_a00.edf\n",
      "../train/02_tcp_le/00000005/s06_2010_05_25/00000005_s06_a00.lbl\n",
      "../train/02_tcp_le/00000005/s06_2010_05_25/00000005_s06_a00.tse\n",
      "../train/02_tcp_le/00000005/s06_2010_05_25/00000005_s06.txt\n",
      "../train/02_tcp_le/00000005/s06_2010_05_25/00000005_s06_a00.tse_bi\n",
      "../train/02_tcp_le/00000005/s02_2010_10_02/00000005_s02_a00.tse_bi\n",
      "../train/02_tcp_le/00000005/s02_2010_10_02/00000005_s02.txt\n",
      "../train/02_tcp_le/00000005/s02_2010_10_02/00000005_s02_a00.tse\n",
      "../train/02_tcp_le/00000005/s02_2010_10_02/00000005_s02_a00.lbl\n",
      "../train/02_tcp_le/00000005/s02_2010_10_02/00000005_s02_a00.lbl_bi\n",
      "../train/02_tcp_le/00000005/s02_2010_10_02/00000005_s02_a00.edf\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a02.lbl_bi\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a00.lbl_bi\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a02.tse\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a02.lbl\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a00.lbl\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a00.tse\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01.txt\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a00.tse_bi\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a02.tse_bi\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a00.edf\n",
      "../train/02_tcp_le/00002938/s01_2006_07_12/00002938_s01_a02.edf\n",
      "../train/02_tcp_le/00002938/s02_2009_12_23/00002938_s02_a00.tse_bi\n",
      "../train/02_tcp_le/00002938/s02_2009_12_23/00002938_s02_a00.lbl_bi\n",
      "../train/02_tcp_le/00002938/s02_2009_12_23/00002938_s02_a00.edf\n",
      "../train/02_tcp_le/00002938/s02_2009_12_23/00002938_s02.txt\n",
      "../train/02_tcp_le/00002938/s02_2009_12_23/00002938_s02_a00.tse\n",
      "../train/02_tcp_le/00002938/s02_2009_12_23/00002938_s02_a00.lbl\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a01.lbl_bi\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a00.tse_bi\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a00.lbl_bi\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01.txt\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a01.edf\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a00.edf\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a01.tse_bi\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a01.tse\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a01.lbl\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a00.lbl\n",
      "../train/02_tcp_le/00001987/s01_2003_05_08/00001987_s01_a00.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a04.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a07.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a06.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a05.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a01.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a02.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a03.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a00.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a07.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a07.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a06.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a06.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a06.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a04.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02.txt\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a04.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a05.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a05.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a05.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a01.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a04.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a01.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a00.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a00.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a07.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a02.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a02.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a03.tse\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a03.lbl\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a04.edf\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a03.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a00.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a05.edf\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a07.edf\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a06.edf\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a02.edf\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a03.edf\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a01.edf\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a01.lbl_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a02.tse_bi\n",
      "../train/02_tcp_le/00001987/s02_2003_05_19/00001987_s02_a00.edf\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a00.lbl\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a00.tse\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a00.tse_bi\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a02.tse\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a02.lbl\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a02.tse_bi\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a02.edf\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a00.edf\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a02.lbl_bi\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04_a00.lbl_bi\n",
      "../train/02_tcp_le/00001987/s04_2003_05_19/00001987_s04.txt\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a01.lbl_bi\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a02.tse_bi\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a00.tse_bi\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a02.tse\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a02.lbl\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a01.tse\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a01.lbl\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a00.lbl\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03.txt\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a00.tse\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a01.edf\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a00.lbl_bi\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a00.edf\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a02.edf\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a01.tse_bi\n",
      "../train/02_tcp_le/00001987/s03_2003_05_19/00001987_s03_a02.lbl_bi\n",
      "../train/02_tcp_le/00005381/s01_2003_12_03/00005381_s01_a00.tse_bi\n",
      "../train/02_tcp_le/00005381/s01_2003_12_03/00005381_s01_a00.tse\n",
      "../train/02_tcp_le/00005381/s01_2003_12_03/00005381_s01_a00.lbl\n",
      "../train/02_tcp_le/00005381/s01_2003_12_03/00005381_s01_a00.lbl_bi\n",
      "../train/02_tcp_le/00005381/s01_2003_12_03/00005381_s01.txt\n",
      "../train/02_tcp_le/00005381/s01_2003_12_03/00005381_s01_a00.edf\n",
      "../train/02_tcp_le/00003272/s01_2004_07_21/00003272_s01_a00.tse_bi\n",
      "../train/02_tcp_le/00003272/s01_2004_07_21/00003272_s01_a00.lbl_bi\n",
      "../train/02_tcp_le/00003272/s01_2004_07_21/00003272_s01_a00.tse\n",
      "../train/02_tcp_le/00003272/s01_2004_07_21/00003272_s01_a00.lbl\n",
      "../train/02_tcp_le/00003272/s01_2004_07_21/00003272_s01.txt\n",
      "../train/02_tcp_le/00003272/s01_2004_07_21/00003272_s01_a00.edf\n",
      "../train/02_tcp_le/00000255/s02_2006_10_29/00000255_s02.txt\n",
      "../train/02_tcp_le/00000255/s02_2006_10_29/00000255_s02_a00.tse_bi\n",
      "../train/02_tcp_le/00000255/s02_2006_10_29/00000255_s02_a00.tse\n",
      "../train/02_tcp_le/00000255/s02_2006_10_29/00000255_s02_a00.lbl\n",
      "../train/02_tcp_le/00000255/s02_2006_10_29/00000255_s02_a00.edf\n",
      "../train/02_tcp_le/00000255/s02_2006_10_29/00000255_s02_a00.lbl_bi\n",
      "../train/02_tcp_le/00000255/s01_2003_08_14/00000255_s01.txt\n",
      "../train/02_tcp_le/00000255/s01_2003_08_14/00000255_s01_a00.lbl_bi\n",
      "../train/02_tcp_le/00000255/s01_2003_08_14/00000255_s01_a00.tse_bi\n",
      "../train/02_tcp_le/00000255/s01_2003_08_14/00000255_s01_a00.edf\n",
      "../train/02_tcp_le/00000255/s01_2003_08_14/00000255_s01_a00.lbl\n",
      "../train/02_tcp_le/00000255/s01_2003_08_14/00000255_s01_a00.tse\n",
      "../train/02_tcp_le/00000255/s03_2006_10_29/00000255_s03.txt\n",
      "../train/02_tcp_le/00000255/s03_2006_10_29/00000255_s03_a00.lbl_bi\n",
      "../train/02_tcp_le/00000255/s03_2006_10_29/00000255_s03_a00.lbl\n",
      "../train/02_tcp_le/00000255/s03_2006_10_29/00000255_s03_a00.tse\n",
      "../train/02_tcp_le/00000255/s03_2006_10_29/00000255_s03_a00.edf\n",
      "../train/02_tcp_le/00000255/s03_2006_10_29/00000255_s03_a00.tse_bi\n",
      "../train/02_tcp_le/00003827/s03_2004_05_17/00003827_s03_a00.lbl_bi\n",
      "../train/02_tcp_le/00003827/s03_2004_05_17/00003827_s03_a00.edf\n",
      "../train/02_tcp_le/00003827/s03_2004_05_17/00003827_s03_a00.tse\n",
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      "../train/02_tcp_le/00001147/s01_2011_08_15/00001147_s01.txt\n",
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      "../train/02_tcp_le/00001458/s03_2010_11_25/00001458_s03_a01.edf\n",
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      "../train/02_tcp_le/00001458/s04_2010_11_25/00001458_s04.txt\n",
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      "../train/02_tcp_le/00001652/s01_2004_02_27/00001652_s01_a00.lbl_bi\n",
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      "../train/02_tcp_le/00001652/s01_2004_02_27/00001652_s01.txt\n",
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      "../train/02_tcp_le/00003798/s04_2003_07_28/00003798_s04_a00.edf\n",
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      "../train/02_tcp_le/00003798/s04_2003_07_28/00003798_s04.txt\n",
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      "../train/02_tcp_le/00003798/s02_2003_08_12/00003798_s02_a00.lbl_bi\n",
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      "../train/02_tcp_le/00003798/s02_2003_08_12/00003798_s02.txt\n",
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      "../train/02_tcp_le/00003798/s02_2003_08_12/00003798_s02_a00.lbl\n",
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      "../train/02_tcp_le/00003798/s01_2003_07_28/00003798_s01_a01.tse\n",
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      "../train/02_tcp_le/00003798/s01_2003_07_28/00003798_s01.txt\n",
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      "../train/02_tcp_le/00003798/s05_2003_07_28/00003798_s05_a03.edf\n",
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      "../train/02_tcp_le/00003798/s05_2003_07_28/00003798_s05.txt\n",
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      "../train/02_tcp_le/00006680/s01_2004_02_05/00006680_s01_a00.tse_bi\n",
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      "../train/02_tcp_le/00006680/s01_2004_02_05/00006680_s01.txt\n",
      "../train/02_tcp_le/00003999/s02_2009_01_15/00003999_s02_a04.lbl_bi\n",
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      "../train/02_tcp_le/00006843/s01_2006_05_01/00006843_s01.txt\n",
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      "../train/02_tcp_le/00003706/s02_2008_10_15/00003706_s02_a07.lbl\n",
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      "../train/02_tcp_le/00005095/s01_2009_02_13/00005095_s01_a00.tse\n",
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      "../train/02_tcp_le/00004073/s02_2003_10_08/00004073_s02_a05.lbl\n",
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      "../train/02_tcp_le/00002575/s03_2003_10_31/00002575_s03_a01.tse_bi\n",
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      "../train/02_tcp_le/00002575/s03_2003_10_31/00002575_s03.txt\n",
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      "../train/02_tcp_le/00002575/s01_2003_05_08/00002575_s01_a01.edf\n",
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      "../train/02_tcp_le/00002575/s01_2003_05_08/00002575_s01.txt\n",
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      "../train/02_tcp_le/00002575/s02_2003_05_19/00002575_s02_a01.lbl_bi\n",
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      "../train/02_tcp_le/00002575/s02_2003_05_19/00002575_s02.txt\n",
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      "../train/02_tcp_le/00001903/s06_2006_05_25/00001903_s06_a00.tse_bi\n",
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      "../train/02_tcp_le/00001903/s07_2007_03_21/00001903_s07_a00.edf\n",
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      "../train/02_tcp_le/00001903/s05_2006_04_07/00001903_s05_a00.tse\n",
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      "../train/02_tcp_le/00001903/s05_2006_04_07/00001903_s05.txt\n",
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      "../train/02_tcp_le/00003465/s04_2007_11_28/00003465_s04_a00.edf\n",
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      "../train/02_tcp_le/00003805/s01_2006_09_13/00003805_s01_a00.tse\n",
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      "../train/02_tcp_le/00007293/s01_2004_06_17/00007293_s01_a00.tse_bi\n",
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      "../train/02_tcp_le/00007409/s02_2008_05_19/00007409_s02_a00.tse_bi\n",
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      "../train/02_tcp_le/00002947/s04_2010_08_17/00002947_s04_a00.tse\n",
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      "../train/02_tcp_le/00002175/s02_2006_05_05/00002175_s02_a00.tse_bi\n",
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      "../train/02_tcp_le/00000676/s02_2009_02_25/00000676_s02_a00.tse\n",
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      "../train/02_tcp_le/00000090/s11_2009_02_26/00000090_s11_a00.tse\n",
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      "../train/02_tcp_le/00007649/s01_2003_11_20/00007649_s01.txt\n",
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      "../train/02_tcp_le/00000295/s06_2008_12_17/00000295_s06_a00.tse\n",
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      "../train/02_tcp_le/00000340/s01_2003_08_26/00000340_s01_a00.edf\n",
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      "../train/02_tcp_le/00000340/s01_2003_08_26/00000340_s01.txt\n",
      "../train/02_tcp_le/00000340/s01_2003_08_26/00000340_s01_a00.tse_bi\n",
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      "../train/02_tcp_le/00000340/s04_2003_09_03/00000340_s04_a01.lbl\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a05.edf\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a01.tse\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a01.lbl\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a00.tse\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a03.tse\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a07.tse\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a07.lbl\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a06.tse\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a07.lbl_bi\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a04.tse\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a05.tse\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a08.tse_bi\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a02.lbl_bi\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a08.tse\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a08.lbl\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a09.tse\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02.txt\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a00.lbl_bi\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a03.tse_bi\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a08.edf\n",
      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a07.tse_bi\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a05.tse_bi\n",
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      "../train/02_tcp_le/00000340/s02_2003_09_03/00000340_s02_a06.lbl_bi\n",
      "../train/02_tcp_le/00005858/s01_2010_01_26/00005858_s01_a00.lbl_bi\n",
      "../train/02_tcp_le/00005858/s01_2010_01_26/00005858_s01_a00.edf\n",
      "../train/02_tcp_le/00005858/s01_2010_01_26/00005858_s01_a00.lbl\n",
      "../train/02_tcp_le/00005858/s01_2010_01_26/00005858_s01_a00.tse\n",
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      "../train/02_tcp_le/00005858/s01_2010_01_26/00005858_s01.txt\n",
      "../train/02_tcp_le/00000922/s01_2010_11_12/00000922_s01_a01.tse_bi\n",
      "../train/02_tcp_le/00000922/s01_2010_11_12/00000922_s01_a00.lbl_bi\n",
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      "../train/02_tcp_le/00000922/s01_2010_11_12/00000922_s01_a01.tse\n",
      "../train/02_tcp_le/00000922/s01_2010_11_12/00000922_s01_a00.tse\n",
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      "../train/02_tcp_le/00000922/s01_2010_11_12/00000922_s01.txt\n",
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      "../train/02_tcp_le/00000922/s01_2010_11_12/00000922_s01_a00.edf\n",
      "../train/02_tcp_le/00008945/s01_2004_03_11/00008945_s01_a01.edf\n",
      "../train/02_tcp_le/00008945/s01_2004_03_11/00008945_s01.txt\n",
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      "../train/02_tcp_le/00008945/s01_2004_03_11/00008945_s01_a01.tse\n",
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      "../train/02_tcp_le/00004116/s01_2011_08_28/00004116_s01_a01.tse_bi\n",
      "../train/02_tcp_le/00004116/s01_2011_08_28/00004116_s01_a01.lbl\n",
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      "../train/02_tcp_le/00004116/s01_2011_08_28/00004116_s01.txt\n",
      "../train/02_tcp_le/00006214/s01_2006_08_04/00006214_s01.txt\n",
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      "../train/02_tcp_le/00002876/s01_2006_12_05/00002876_s01_a01.lbl_bi\n",
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      "../train/02_tcp_le/00008113/s01_2004_03_17/00008113_s01_a00.edf\n",
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      "../train/02_tcp_le/00005065/s03_2009_06_09/00005065_s03.txt\n",
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      "../train/02_tcp_le/00005065/s01_2009_06_09/00005065_s01.txt\n",
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      "../train/02_tcp_le/00000142/s03_2003_08_26/00000142_s03_a00.edf\n",
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      "../train/02_tcp_le/00003165/s03_2008_02_06/00003165_s03_a00.tse\n",
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      "../train/02_tcp_le/00006685/s01_2006_05_05/00006685_s01.txt\n",
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      "../train/02_tcp_le/00008171/s01_2006_02_16/00008171_s01_a02.tse_bi\n",
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      "../train/02_tcp_le/00008523/s01_2009_06_10/00008523_s01_a01.tse_bi\n",
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      "../train/02_tcp_le/00008523/s01_2009_06_10/00008523_s01_a01.lbl_bi\n",
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      "../train/02_tcp_le/00005210/s01_2008_05_23/00005210_s01.txt\n",
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      "../train/02_tcp_le/00006916/s02_2008_10_29/00006916_s02_a00.lbl_bi\n",
      "../train/02_tcp_le/00006916/s02_2008_10_29/00006916_s02.txt\n",
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      "../train/02_tcp_le/00003655/s01_2010_01_26/00003655_s01.txt\n",
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      "../train/02_tcp_le/00010041/s01_2006_08_23/00010041_s01_a01.tse_bi\n",
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      "../train/02_tcp_le/00005195/s01_2010_12_09/00005195_s01_a02.lbl_bi\n",
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      "../train/02_tcp_le/00005195/s01_2010_12_09/00005195_s01.txt\n",
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      "../train/02_tcp_le/00004611/s01_2003_06_19/00004611_s01.txt\n",
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      "../train/02_tcp_le/00001363/s02_2007_12_04/00001363_s02_a00.lbl_bi\n",
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      "../train/02_tcp_le/00006945/s02_2004_12_07/00006945_s02_a01.tse\n",
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      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a01.lbl_bi\n",
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      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08.txt\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a03.edf\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a02.edf\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a03.tse_bi\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a00.edf\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a01.edf\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a00.lbl_bi\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a01.tse_bi\n",
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      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a02.lbl_bi\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a04.edf\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a00.tse\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a00.lbl\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a01.lbl\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a05.tse_bi\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a01.tse\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a03.tse\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a03.lbl\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a02.lbl\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a02.tse\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a05.tse\n",
      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a05.lbl\n",
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      "../train/01_tcp_ar/00001183/s08_2003_08_12/00001183_s08_a04.tse\n",
      "../train/01_tcp_ar/00001183/s07_2003_08_12/00001183_s07_a04.tse_bi\n",
      "../train/01_tcp_ar/00001183/s07_2003_08_12/00001183_s07_a04.edf\n",
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      "../train/01_tcp_ar/00001183/s07_2003_08_12/00001183_s07_a04.tse\n",
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      "../train/01_tcp_ar/00001183/s07_2003_08_12/00001183_s07_a02.tse\n",
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      "../train/01_tcp_ar/00001183/s07_2003_08_12/00001183_s07_a02.lbl\n",
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      "../train/01_tcp_ar/00000177/s01_2011_11_17/00000177_s01.txt\n",
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      "../train/01_tcp_ar/00000177/s05_2012_09_27/00000177_s05.txt\n",
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      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a07.edf\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a02.lbl_bi\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a04.tse_bi\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a08.tse_bi\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a07.lbl_bi\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a09.edf\n",
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      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a06.tse_bi\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a09.lbl_bi\n",
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      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a09.tse\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a09.lbl\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a08.lbl\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a08.tse\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a01.lbl_bi\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a02.tse_bi\n",
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a03.lbl_bi\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../train/01_tcp_ar/00000177/s04_2012_03_30/00000177_s04_a00.tse_bi\n",
      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07_a00.tse_bi\n",
      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07_a00.edf\n",
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      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07_a01.edf\n",
      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07_a03.edf\n",
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      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07_a06.edf\n",
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      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07.txt\n",
      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07_a02.tse_bi\n",
      "../train/01_tcp_ar/00000177/s07_2012_02_09/00000177_s07_a05.edf\n",
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      "../train/01_tcp_ar/00002359/s01_2013_05_01/00002359_s01_a00.edf\n",
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      "../train/01_tcp_ar/00002359/s01_2013_05_01/00002359_s01.txt\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a07.tse_bi\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a03.tse_bi\n",
      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a03.edf\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a05.lbl_bi\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a00.lbl\n",
      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a00.tse\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a01.tse\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02.txt\n",
      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a03.lbl\n",
      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a03.tse\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a06.tse\n",
      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a07.tse\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a05.lbl\n",
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      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a05.tse\n",
      "../train/01_tcp_ar/00001970/s02_2012_08_23/00001970_s02_a04.tse\n",
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      "../train/01_tcp_ar/00004464/s03_2011_03_11/00004464_s03_a00.edf\n",
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      "../train/01_tcp_ar/00004464/s03_2011_03_11/00004464_s03.txt\n",
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      "../train/01_tcp_ar/00004464/s03_2011_03_11/00004464_s03_a01.tse_bi\n",
      "../train/01_tcp_ar/00004464/s03_2011_03_11/00004464_s03_a00.tse\n",
      "../train/01_tcp_ar/00004464/s03_2011_03_11/00004464_s03_a00.lbl\n",
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      "../train/01_tcp_ar/00004464/s03_2011_03_11/00004464_s03_a01.tse\n",
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      "../train/01_tcp_ar/00004464/s03_2011_03_11/00004464_s03_a00.tse_bi\n",
      "../train/01_tcp_ar/00005770/s01_2012_08_23/00005770_s01_a01.lbl_bi\n",
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      "../train/01_tcp_ar/00005770/s01_2012_08_23/00005770_s01.txt\n",
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      "../train/01_tcp_ar/00001915/s09_2013_01_10/00001915_s09_a02.tse_bi\n",
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      "../train/01_tcp_ar/00001915/s09_2013_01_10/00001915_s09.txt\n",
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      "../train/01_tcp_ar/00005315/s04_2012_10_31/00005315_s04_a09.edf\n",
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      "../train/01_tcp_ar/00002284/s04_2013_05_01/00002284_s04_a00.tse_bi\n",
      "../train/01_tcp_ar/00002284/s04_2013_05_01/00002284_s04.txt\n",
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      "../train/01_tcp_ar/00002426/s01_2012_06_13/00002426_s01_a02.tse_bi\n",
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      "../train/01_tcp_ar/00002426/s02_2012_06_13/00002426_s02.txt\n",
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      "../train/01_tcp_ar/00002426/s02_2012_06_13/00002426_s02_a00.tse\n",
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      "../train/01_tcp_ar/00000371/s03_2010_10_13/00000371_s03_a00.lbl\n",
      "../train/01_tcp_ar/00000371/s03_2010_10_13/00000371_s03_a00.tse\n",
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      "../train/01_tcp_ar/00000371/s03_2010_10_13/00000371_s03.txt\n",
      "../train/01_tcp_ar/00000371/s03_2010_10_13/00000371_s03_a00.edf\n",
      "../train/01_tcp_ar/00000371/s03_2010_10_13/00000371_s03_a00.lbl_bi\n",
      "../train/01_tcp_ar/00002277/s03_2013_11_05/00002277_s03_a00.tse_bi\n",
      "../train/01_tcp_ar/00002277/s03_2013_11_05/00002277_s03.txt\n",
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      "../train/01_tcp_ar/00002277/s03_2013_11_05/00002277_s03_a00.tse\n",
      "../train/01_tcp_ar/00002277/s03_2013_11_05/00002277_s03_a00.lbl\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a02.tse_bi\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a06.tse\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a10.tse_bi\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a06.lbl\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a07.lbl\n",
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      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a07.tse\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a05.tse\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a11.tse\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a11.lbl\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a05.lbl\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a04.lbl\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a10.lbl\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a10.tse\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a04.tse\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a00.tse\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a00.lbl\n",
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      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a01.tse\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a00.tse_bi\n",
      "../train/01_tcp_ar/00002277/s06_2013_11_05/00002277_s06_a03.tse\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a05.tse\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a04.tse\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a06.tse\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a07.tse\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a03.tse\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a02.tse\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a00.tse\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a01.tse\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a01.lbl\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a07.tse_bi\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a08.lbl_bi\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a05.tse_bi\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a08.tse\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a08.lbl\n",
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      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a08.edf\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a00.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s06_2012_10_23/00000286_s06_a03.tse_bi\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a02.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a01.tse_bi\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11.txt\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a00.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a00.tse_bi\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a02.edf\n",
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      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a01.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a01.edf\n",
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      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a01.tse\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a01.lbl\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a00.lbl\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a00.tse\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a02.tse\n",
      "../train/01_tcp_ar/00000286/s11_2012_11_19/00000286_s11_a02.lbl\n",
      "../train/01_tcp_ar/00000286/s13_2013_02_01/00000286_s13.txt\n",
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      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a03.lbl\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a03.tse\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a02.tse\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a02.lbl\n",
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      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a00.tse\n",
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      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04.txt\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a00.tse_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a01.tse\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a01.lbl\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a05.lbl\n",
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      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a05.tse\n",
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      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a04.tse\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a04.lbl\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a06.lbl\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a06.tse\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a07.tse\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a07.lbl\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a00.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a06.tse_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a01.edf\n",
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      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a03.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a02.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a06.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a07.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a04.tse_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a05.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a08.tse_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a07.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a04.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a01.tse_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a08.edf\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a02.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a03.tse_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a00.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a08.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a04.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a08.tse\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a07.tse_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a08.lbl\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a06.lbl_bi\n",
      "../train/01_tcp_ar/00000286/s04_2012_10_23/00000286_s04_a05.tse_bi\n",
      "../train/01_tcp_ar/00000078/s05_2010_11_24/00000078_s05_a01.lbl_bi\n",
      "../train/01_tcp_ar/00000078/s05_2010_11_24/00000078_s05_a01.tse_bi\n",
      "../train/01_tcp_ar/00000078/s05_2010_11_24/00000078_s05_a01.lbl\n",
      "../train/01_tcp_ar/00000078/s05_2010_11_24/00000078_s05_a01.tse\n",
      "../train/01_tcp_ar/00000078/s05_2010_11_24/00000078_s05.txt\n",
      "../train/01_tcp_ar/00000078/s05_2010_11_24/00000078_s05_a01.edf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../train/01_tcp_ar/00002546/s09_2011_03_09/00002546_s09_a00.tse_bi\n",
      "../train/01_tcp_ar/00002546/s09_2011_03_09/00002546_s09_a00.edf\n",
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      "../train/01_tcp_ar/00002546/s09_2011_03_09/00002546_s09.txt\n",
      "../train/01_tcp_ar/00002546/s09_2011_03_09/00002546_s09_a00.tse\n",
      "../train/01_tcp_ar/00002546/s09_2011_03_09/00002546_s09_a00.lbl\n",
      "../train/01_tcp_ar/00002546/s08_2011_03_09/00002546_s08_a00.lbl_bi\n",
      "../train/01_tcp_ar/00002546/s08_2011_03_09/00002546_s08_a00.tse_bi\n",
      "../train/01_tcp_ar/00002546/s08_2011_03_09/00002546_s08_a00.edf\n",
      "../train/01_tcp_ar/00002546/s08_2011_03_09/00002546_s08.txt\n",
      "../train/01_tcp_ar/00002546/s08_2011_03_09/00002546_s08_a00.lbl\n",
      "../train/01_tcp_ar/00002546/s08_2011_03_09/00002546_s08_a00.tse\n",
      "../train/01_tcp_ar/00000447/s01_2013_03_04/00000447_s01_a00.tse_bi\n",
      "../train/01_tcp_ar/00000447/s01_2013_03_04/00000447_s01.txt\n",
      "../train/01_tcp_ar/00000447/s01_2013_03_04/00000447_s01_a00.edf\n",
      "../train/01_tcp_ar/00000447/s01_2013_03_04/00000447_s01_a00.lbl_bi\n",
      "../train/01_tcp_ar/00000447/s01_2013_03_04/00000447_s01_a00.tse\n",
      "../train/01_tcp_ar/00000447/s01_2013_03_04/00000447_s01_a00.lbl\n",
      "../train/01_tcp_ar/00001753/s02_2010_09_21/00001753_s02_a00.tse_bi\n",
      "../train/01_tcp_ar/00001753/s02_2010_09_21/00001753_s02_a00.tse\n",
      "../train/01_tcp_ar/00001753/s02_2010_09_21/00001753_s02_a00.lbl\n",
      "../train/01_tcp_ar/00001753/s02_2010_09_21/00001753_s02_a00.edf\n",
      "../train/01_tcp_ar/00001753/s02_2010_09_21/00001753_s02_a00.lbl_bi\n",
      "../train/01_tcp_ar/00001753/s02_2010_09_21/00001753_s02.txt\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a01.edf\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a00.edf\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a01.tse_bi\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a00.lbl_bi\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a01.tse\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a01.lbl\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a00.lbl\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a00.tse\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a00.tse_bi\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01.txt\n",
      "../train/01_tcp_ar/00001753/s01_2010_09_21/00001753_s01_a01.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a01.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a02.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a09.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a09.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a08.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a08.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a03.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a00.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a09.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a08.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a04.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a08.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a07.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a06.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a09.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a05.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a00.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a01.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a03.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a03.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a00.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a02.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a06.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a01.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a07.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a02.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a05.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a04.edf\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a06.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a03.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a03.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a05.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a02.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a02.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a09.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a00.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03.txt\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a00.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a01.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a01.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a05.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a05.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a04.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a04.tse\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a08.tse_bi\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a06.tse\n",
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      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a06.lbl\n",
      "../train/01_tcp_ar/00000482/s03_2013_11_04/00000482_s03_a07.lbl\n",
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      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a05.lbl\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a05.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a11.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a10.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a04.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02.txt\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a04.lbl\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a10.lbl\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a00.lbl\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a00.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a01.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a01.lbl\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a08.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a03.lbl\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a04.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a03.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a02.tse\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a02.lbl\n",
      "../train/01_tcp_ar/00000482/s02_2013_11_04/00000482_s02_a07.tse_bi\n",
      "../train/01_tcp_ar/00000482/s05_2013_11_04/00000482_s05_a00.edf\n",
      "../train/01_tcp_ar/00000482/s05_2013_11_04/00000482_s05_a00.tse_bi\n",
      "../train/01_tcp_ar/00000482/s05_2013_11_04/00000482_s05_a00.lbl\n",
      "../train/01_tcp_ar/00000482/s05_2013_11_04/00000482_s05_a00.tse\n",
      "../train/01_tcp_ar/00000482/s05_2013_11_04/00000482_s05_a00.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s05_2013_11_04/00000482_s05.txt\n",
      "../train/01_tcp_ar/00000482/s08_2013_11_04/00000482_s08.txt\n",
      "../train/01_tcp_ar/00000482/s08_2013_11_04/00000482_s08_a00.tse_bi\n",
      "../train/01_tcp_ar/00000482/s08_2013_11_04/00000482_s08_a00.tse\n",
      "../train/01_tcp_ar/00000482/s08_2013_11_04/00000482_s08_a00.lbl\n",
      "../train/01_tcp_ar/00000482/s08_2013_11_04/00000482_s08_a00.lbl_bi\n",
      "../train/01_tcp_ar/00000482/s08_2013_11_04/00000482_s08_a00.edf\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a02.edf\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a00.edf\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a02.tse_bi\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a01.lbl_bi\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a01.edf\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a00.tse_bi\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a00.tse\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a00.lbl\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a01.lbl\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a01.tse\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a02.lbl\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a02.tse\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02.txt\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a00.lbl_bi\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a02.lbl_bi\n",
      "../train/01_tcp_ar/00007237/s02_2013_04_17/00007237_s02_a01.tse_bi\n",
      "../train/01_tcp_ar/00002943/s02_2011_05_19/00002943_s02_a00.lbl\n",
      "../train/01_tcp_ar/00002943/s02_2011_05_19/00002943_s02_a00.tse\n",
      "../train/01_tcp_ar/00002943/s02_2011_05_19/00002943_s02_a00.tse_bi\n",
      "../train/01_tcp_ar/00002943/s02_2011_05_19/00002943_s02_a00.edf\n",
      "../train/01_tcp_ar/00002943/s02_2011_05_19/00002943_s02.txt\n",
      "../train/01_tcp_ar/00002943/s02_2011_05_19/00002943_s02_a00.lbl_bi\n",
      "../train/01_tcp_ar/00002182/s01_2012_03_09/00002182_s01_a00.lbl\n",
      "../train/01_tcp_ar/00002182/s01_2012_03_09/00002182_s01_a00.tse\n",
      "../train/01_tcp_ar/00002182/s01_2012_03_09/00002182_s01_a00.lbl_bi\n",
      "../train/01_tcp_ar/00002182/s01_2012_03_09/00002182_s01.txt\n",
      "../train/01_tcp_ar/00002182/s01_2012_03_09/00002182_s01_a00.edf\n",
      "../train/01_tcp_ar/00002182/s01_2012_03_09/00002182_s01_a00.tse_bi\n",
      "../train/01_tcp_ar/00004611/s02_2013_05_01/00004611_s02.txt\n",
      "../train/01_tcp_ar/00004611/s02_2013_05_01/00004611_s02_a00.lbl_bi\n",
      "../train/01_tcp_ar/00004611/s02_2013_05_01/00004611_s02_a00.tse_bi\n",
      "../train/01_tcp_ar/00004611/s02_2013_05_01/00004611_s02_a00.lbl\n",
      "../train/01_tcp_ar/00004611/s02_2013_05_01/00004611_s02_a00.tse\n",
      "../train/01_tcp_ar/00004611/s02_2013_05_01/00004611_s02_a00.edf\n",
      "../train/01_tcp_ar/00001532/s01_2013_04_17/00001532_s01_a00.tse\n",
      "../train/01_tcp_ar/00001532/s01_2013_04_17/00001532_s01_a00.lbl\n",
      "../train/01_tcp_ar/00001532/s01_2013_04_17/00001532_s01_a00.tse_bi\n",
      "../train/01_tcp_ar/00001532/s01_2013_04_17/00001532_s01.txt\n",
      "../train/01_tcp_ar/00001532/s01_2013_04_17/00001532_s01_a00.edf\n",
      "../train/01_tcp_ar/00001532/s01_2013_04_17/00001532_s01_a00.lbl_bi\n",
      "../train/01_tcp_ar/.DS_Store\n",
      "../train/.DS_Store\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "i, j = 0, 0\n",
    "edfs, tses = [], []\n",
    "for root, dirs, files in os.walk(\"../train/\", topdown=False):\n",
    "    i+=1\n",
    "    for name in files:\n",
    "        print(os.path.join(root, name))\n",
    "        if name[-3:]=='edf':\n",
    "            edfs.append(os.path.join(root, name))\n",
    "        if name[-3:]=='tse':\n",
    "            tses.append(os.path.join(root, name))\n",
    "    \"\"\"\n",
    "    for name in dirs:\n",
    "        j+=1\n",
    "        print('j', j, os.path.join(root, name))\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'EEG F7-LE'"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "signal_labels[12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "edfs = sorted(edfs)\n",
    "tses = sorted(tses)\n",
    "pairs = list(zip(edfs, tses))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "tses = sorted(tses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive = []\n",
    "count = 0\n",
    "for i, element in enumerate(pairs):\n",
    "    file = open(element[1], \"r\")\n",
    "    file = file.read()\n",
    "    file = file.split('\\n')\n",
    "    if len(file)>4:\n",
    "        count+=1\n",
    "        #print(file)\n",
    "        positive.append(element[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(36, 290500)"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sigbufs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['version = tse_v1.0.0', '', '0.0000 260.5028 bckg 1.0000', '260.5028 298.0223 gnsz 1.0000', '298.0223 742.2754 bckg 1.0000', '742.2754 772.6849 fnsz 1.0000', '772.6849 1203.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 451.2669 bckg 1.0000', '451.2669 472.0069 fnsz 1.0000', '472.0069 659.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 45.6081 bckg 1.0000', '45.6081 60.0081 fnsz 1.0000', '60.0081 120.0010 bckg 1.0000', '120.0010 134.1010 fnsz 1.0000', '134.1010 158.1091 bckg 1.0000', '158.1091 247.0050 fnsz 1.0000', '247.0050 364.3497 bckg 1.0000', '364.3497 437.0939 fnsz 1.0000', '437.0939 537.4287 bckg 1.0000', '537.4287 637.8431 fnsz 1.0000', '637.8431 711.4497 bckg 1.0000', '711.4497 770.0503 fnsz 1.0000', '770.0503 889.2221 bckg 1.0000', '889.2221 911.3232 fnsz 1.0000', '911.3232 943.0994 bckg 1.0000', '943.0994 989.1613 fnsz 1.0000', '989.1613 1076.4497 bckg 1.0000', '1076.4497 1165.9387 fnsz 1.0000', '1165.9387 1262.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 82.4392 bckg 1.0000', '82.4392 246.3050 fnsz 1.0000', '246.3050 300.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 465.7608 bckg 1.0000', '465.7608 488.2724 fnsz 1.0000', '488.2724 495.4392 bckg 1.0000', '495.4392 551.1331 fnsz 1.0000', '551.1331 557.0718 bckg 1.0000', '557.0718 582.2608 fnsz 1.0000', '582.2608 854.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 279.7503 bckg 1.0000', '279.7503 300.8613 fnsz 1.0000', '300.8613 311.4392 bckg 1.0000', '311.4392 354.9773 fnsz 1.0000', '354.9773 767.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 434.1829 bckg 1.0000', '434.1829 634.8829 fnsz 1.0000', '634.8829 1149.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 580.4448 bckg 1.0000', '580.4448 695.5934 fnsz 1.0000', '695.5934 1240.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 20.6359 bckg 1.0000', '20.6359 115.5155 cpsz 1.0000', '115.5155 181.1398 bckg 1.0000', '181.1398 264.5873 cpsz 1.0000', '264.5873 337.1011 bckg 1.0000', '337.1011 357.8823 cpsz 1.0000', '357.8823 489.8845 bckg 1.0000', '489.8845 519.0602 cpsz 1.0000', '519.0602 643.7448 bckg 1.0000', '643.7448 704.9271 cpsz 1.0000', '704.9271 801.6823 bckg 1.0000', '801.6823 819.9934 cpsz 1.0000', '819.9934 944.0116 bckg 1.0000', '944.0116 1014.9448 cpsz 1.0000', '1014.9448 1118.9785 bckg 1.0000', '1118.9785 1212.0873 cpsz 1.0000', '1212.0873 1272.6525 bckg 1.0000', '1272.6525 1396.0691 cpsz 1.0000', '1396.0691 1420.0735 bckg 1.0000', '1420.0735 1507.8895 cpsz 1.0000', '1507.8895 1601.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 1.0000 bckg 1.0000', '1.0000 11.4663 fnsz 1.0000', '11.4663 18.9569 bckg 1.0000', '18.9569 27.5331 fnsz 1.0000', '27.5331 27.9669 bckg 1.0000', '27.9669 33.4326 fnsz 1.0000', '33.4326 34.0840 bckg 1.0000', '34.0840 46.7669 fnsz 1.0000', '46.7669 54.6503 bckg 1.0000', '54.6503 83.9718 fnsz 1.0000', '83.9718 96.6569 bckg 1.0000', '96.6569 119.2773 cpsz 1.0000', '119.2773 145.7448 bckg 1.0000', '145.7448 161.4116 cpsz 1.0000', '161.4116 164.9956 bckg 1.0000', '164.9956 188.6149 cpsz 1.0000', '188.6149 202.0398 bckg 1.0000', '202.0398 223.8939 fnsz 1.0000', '223.8939 226.7508 bckg 1.0000', '226.7508 240.7773 fnsz 1.0000', '240.7773 251.7674 bckg 1.0000', '251.7674 276.4989 fnsz 1.0000', '276.4989 282.1724 bckg 1.0000', '282.1724 288.4994 fnsz 1.0000', '288.4994 307.0796 bckg 1.0000', '307.0796 329.8613 cpsz 1.0000', '329.8613 337.6227 bckg 1.0000', '337.6227 392.9978 fnsz 1.0000', '392.9978 404.0343 bckg 1.0000', '404.0343 423.9878 fnsz 1.0000', '423.9878 430.1122 bckg 1.0000', '430.1122 449.4989 cpsz 1.0000', '449.4989 455.7845 bckg 1.0000', '455.7845 503.3652 fnsz 1.0000', '503.3652 513.8906 bckg 1.0000', '513.8906 546.8099 fnsz 1.0000', '546.8099 560.1464 bckg 1.0000', '560.1464 577.3823 fnsz 1.0000', '577.3823 677.2398 bckg 1.0000', '677.2398 702.8768 fnsz 1.0000', '702.8768 779.7293 bckg 1.0000', '779.7293 809.0122 fnsz 1.0000', '809.0122 825.9514 bckg 1.0000', '825.9514 843.6652 fnsz 1.0000', '843.6652 902.9939 bckg 1.0000', '902.9939 913.4431 fnsz 1.0000', '913.4431 920.2116 bckg 1.0000', '920.2116 936.1994 fnsz 1.0000', '936.1994 945.6282 bckg 1.0000', '945.6282 963.1160 fnsz 1.0000', '963.1160 963.8552 bckg 1.0000', '963.8552 972.6099 fnsz 1.0000', '972.6099 987.7337 bckg 1.0000', '987.7337 994.3050 fnsz 1.0000', '994.3050 1044.5674 bckg 1.0000', '1044.5674 1073.2436 fnsz 1.0000', '1073.2436 1085.2061 bckg 1.0000', '1085.2061 1100.3652 fnsz 1.0000', '1100.3652 1108.0282 bckg 1.0000', '1108.0282 1125.6210 fnsz 1.0000', '1125.6210 1154.3624 bckg 1.0000', '1154.3624 1164.6989 fnsz 1.0000', '1164.6989 1181.8729 bckg 1.0000', '1181.8729 1190.9934 fnsz 1.0000', '1190.9934 1257.2503 bckg 1.0000', '1257.2503 1270.2099 fnsz 1.0000', '1270.2099 1279.5392 bckg 1.0000', '1279.5392 1320.5718 fnsz 1.0000', '1320.5718 1379.9956 bckg 1.0000', '1379.9956 1396.5602 fnsz 1.0000', '1396.5602 1416.9508 bckg 1.0000', '1416.9508 1433.1823 fnsz 1.0000', '1433.1823 1561.7337 bckg 1.0000', '1561.7337 1570.0773 fnsz 1.0000', '1570.0773 1584.8331 bckg 1.0000', '1584.8331 1598.0597 fnsz 1.0000', '1598.0597 1720.9354 bckg 1.0000', '1720.9354 1746.5497 cpsz 1.0000', '1746.5497 1758.6685 bckg 1.0000', '1758.6685 1777.5099 fnsz 1.0000', '1777.5099 1798.0845 bckg 1.0000', '1798.0845 1821.0436 fnsz 1.0000', '1821.0436 1893.2238 bckg 1.0000', '1893.2238 1904.8392 fnsz 1.0000', '1904.8392 1906.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 58.0950 bckg 1.0000', '58.0950 89.9829 fnsz 1.0000', '89.9829 98.7066 bckg 1.0000', '98.7066 107.2050 fnsz 1.0000', '107.2050 209.1249 bckg 1.0000', '209.1249 233.1547 fnsz 1.0000', '233.1547 242.5508 bckg 1.0000', '242.5508 259.4823 fnsz 1.0000', '259.4823 341.7287 bckg 1.0000', '341.7287 445.2044 fnsz 1.0000', '445.2044 540.6575 bckg 1.0000', '540.6575 571.5768 fnsz 1.0000', '571.5768 701.1564 bckg 1.0000', '701.1564 777.7713 fnsz 1.0000', '777.7713 877.2619 bckg 1.0000', '877.2619 942.8713 fnsz 1.0000', '942.8713 1009.9287 bckg 1.0000', '1009.9287 1085.7790 fnsz 1.0000', '1085.7790 1144.0011 bckg 1.0000', '1144.0011 1256.5215 fnsz 1.0000', '1256.5215 1350.8177 bckg 1.0000', '1350.8177 1442.6884 fnsz 1.0000', '1442.6884 1452.3182 bckg 1.0000', '1452.3182 1577.6536 fnsz 1.0000', '1577.6536 1671.0000 bckg 1.0000', '']\n",
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      "['version = tse_v1.0.0', '', '0.0000 51.3223 bckg 1.0000', '51.3223 66.9167 fnsz 1.0000', '66.9167 108.5892 bckg 1.0000', '108.5892 124.0892 fnsz 1.0000', '124.0892 125.4721 bckg 1.0000', '125.4721 145.4721 fnsz 1.0000', '145.4721 151.1449 bckg 1.0000', '151.1449 164.3010 fnsz 1.0000', '164.3010 170.7721 bckg 1.0000', '170.7721 202.5721 fnsz 1.0000', '202.5721 214.8223 bckg 1.0000', '214.8223 237.0223 fnsz 1.0000', '237.0223 287.2672 bckg 1.0000', '287.2672 307.4275 fnsz 1.0000', '307.4275 348.0613 bckg 1.0000', '348.0613 367.5613 fnsz 1.0000', '367.5613 410.8889 bckg 1.0000', '410.8889 427.0889 fnsz 1.0000', '427.0889 482.1334 bckg 1.0000', '482.1334 500.5334 fnsz 1.0000', '500.5334 539.1784 bckg 1.0000', '539.1784 556.9784 fnsz 1.0000', '556.9784 575.9387 bckg 1.0000', '575.9387 594.1387 fnsz 1.0000', '594.1387 626.7164 bckg 1.0000', '626.7164 636.8997 fnsz 1.0000', '636.8997 661.8551 bckg 1.0000', '661.8551 690.4777 fnsz 1.0000', '690.4777 733.1784 bckg 1.0000', '733.1784 753.1007 fnsz 1.0000', '753.1007 769.7331 bckg 1.0000', '769.7331 798.8889 fnsz 1.0000', '798.8889 808.5167 bckg 1.0000', '808.5167 824.5167 fnsz 1.0000', '824.5167 829.1171 bckg 1.0000', '829.1171 837.9777 fnsz 1.0000', '837.9777 839.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 272.6056 bckg 1.0000', '272.6056 284.1056 gnsz 1.0000', '284.1056 1210.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 8.8387 bckg 1.0000', '8.8387 21.6387 fnsz 1.0000', '21.6387 22.8121 bckg 1.0000', '22.8121 49.0121 fnsz 1.0000', '49.0121 50.1334 bckg 1.0000', '50.1334 64.2334 fnsz 1.0000', '64.2334 65.4111 bckg 1.0000', '65.4111 81.3111 fnsz 1.0000', '81.3111 82.1892 bckg 1.0000', '82.1892 97.7892 fnsz 1.0000', '97.7892 98.2885 bckg 1.0000', '98.2885 109.9885 fnsz 1.0000', '109.9885 112.9725 bckg 1.0000', '112.9725 122.0725 fnsz 1.0000', '122.0725 122.9836 bckg 1.0000', '122.9836 146.6836 fnsz 1.0000', '146.6836 147.2282 bckg 1.0000', '147.2282 194.6282 fnsz 1.0000', '194.6282 195.5111 bckg 1.0000', '195.5111 210.2111 fnsz 1.0000', '210.2111 211.3056 bckg 1.0000', '211.3056 217.5056 fnsz 1.0000', '217.5056 218.4502 bckg 1.0000', '218.4502 223.6502 fnsz 1.0000', '223.6502 224.5446 bckg 1.0000', '224.5446 304.9446 fnsz 1.0000', '304.9446 305.5833 bckg 1.0000', '305.5833 311.4833 fnsz 1.0000', '311.4833 312.3446 bckg 1.0000', '312.3446 355.9446 fnsz 1.0000', '355.9446 360.0446 bckg 1.0000', '360.0446 374.0446 fnsz 1.0000', '374.0446 375.0997 bckg 1.0000', '375.0997 395.4997 fnsz 1.0000', '395.4997 396.5279 bckg 1.0000', '396.5279 424.4279 fnsz 1.0000', '424.4279 426.9498 bckg 1.0000', '426.9498 448.6498 fnsz 1.0000', '448.6498 449.5443 bckg 1.0000', '449.5443 505.0443 fnsz 1.0000', '505.0443 505.6498 bckg 1.0000', '505.6498 549.3498 fnsz 1.0000', '549.3498 550.2390 bckg 1.0000', '550.2390 585.4390 fnsz 1.0000', '585.4390 585.9220 bckg 1.0000', '585.9220 607.2220 fnsz 1.0000', '607.2220 607.8334 bckg 1.0000', '607.8334 674.5334 fnsz 1.0000', '674.5334 681.2334 bckg 1.0000', '681.2334 717.9334 fnsz 1.0000', '717.9334 719.9554 bckg 1.0000', '719.9554 729.2554 fnsz 1.0000', '729.2554 730.0443 bckg 1.0000', '730.0443 770.2443 fnsz 1.0000', '770.2443 771.2561 bckg 1.0000', '771.2561 779.3052 fnsz 1.0000', '779.3052 779.9052 bckg 1.0000', '779.9052 799.0052 fnsz 1.0000', '799.0052 799.7836 bckg 1.0000', '799.7836 820.6220 fnsz 1.0000', '820.6220 821.2666 bckg 1.0000', '821.2666 855.1666 fnsz 1.0000', '855.1666 855.8718 bckg 1.0000', '855.8718 873.4121 fnsz 1.0000', '873.4121 873.9708 bckg 1.0000', '873.9708 893.0708 fnsz 1.0000', '893.0708 893.6777 bckg 1.0000', '893.6777 951.3777 fnsz 1.0000', '951.3777 952.2443 bckg 1.0000', '952.2443 976.0443 fnsz 1.0000', '976.0443 976.5892 bckg 1.0000', '976.5892 992.6443 fnsz 1.0000', '992.6443 993.6390 bckg 1.0000', '993.6390 1100.6826 fnsz 1.0000', '1100.6826 1101.3701 bckg 1.0000', '1101.3701 1128.3806 fnsz 1.0000', '1128.3806 1129.4666 bckg 1.0000', '1129.4666 1149.4606 fnsz 1.0000', '1149.4606 1150.6948 bckg 1.0000', '1150.6948 1184.6948 fnsz 1.0000', '1184.6948 1185.2223 bckg 1.0000', '1185.2223 1206.9980 fnsz 1.0000', '1206.9980 1209.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 35.8105 bckg 1.0000', '35.8105 843.0000 fnsz 1.0000', '843.0000 844.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 1.0000 bckg 1.0000', '1.0000 155.6870 fnsz 1.0000', '155.6870 209.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 1.0000 bckg 1.0000', '1.0000 285.7580 fnsz 1.0000', '285.7580 886.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 6.2698 bckg 1.0000', '6.2698 64.3790 fnsz 1.0000', '64.3790 195.7157 bckg 1.0000', '195.7157 212.9954 fnsz 1.0000', '212.9954 214.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 169.2279 bckg 1.0000', '169.2279 203.3279 cpsz 1.0000', '203.3279 514.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 52.6544 bckg 1.0000', '52.6544 81.7770 fnsz 1.0000', '81.7770 133.8021 bckg 1.0000', '133.8021 157.1148 fnsz 1.0000', '157.1148 222.6377 bckg 1.0000', '222.6377 245.9390 fnsz 1.0000', '245.9390 291.4223 bckg 1.0000', '291.4223 316.4567 fnsz 1.0000', '316.4567 451.6878 bckg 1.0000', '451.6878 479.1902 fnsz 1.0000', '479.1902 540.6544 bckg 1.0000', '540.6544 565.6715 fnsz 1.0000', '565.6715 602.3780 bckg 1.0000', '602.3780 630.5084 fnsz 1.0000', '630.5084 766.8545 bckg 1.0000', '766.8545 785.5769 fnsz 1.0000', '785.5769 831.7355 bckg 1.0000', '831.7355 850.9767 fnsz 1.0000', '850.9767 864.2328 bckg 1.0000', '864.2328 894.6355 fnsz 1.0000', '894.6355 917.2007 bckg 1.0000', '917.2007 926.2091 fnsz 1.0000', '926.2091 943.8523 bckg 1.0000', '943.8523 961.5597 fnsz 1.0000', '961.5597 972.6767 bckg 1.0000', '972.6767 997.0363 fnsz 1.0000', '997.0363 1039.0111 bckg 1.0000', '1039.0111 1057.7201 fnsz 1.0000', '1057.7201 1078.7607 bckg 1.0000', '1078.7607 1105.6098 fnsz 1.0000', '1105.6098 1163.2718 bckg 1.0000', '1163.2718 1186.8467 fnsz 1.0000', '1186.8467 1274.2369 bckg 1.0000', '1274.2369 1285.5731 fnsz 1.0000', '1285.5731 1289.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 512.7822 bckg 1.0000', '512.7822 526.7616 fnsz 1.0000', '526.7616 1470.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 30.8885 bckg 1.0000', '30.8885 102.8885 fnsz 1.0000', '102.8885 140.1226 bckg 1.0000', '140.1226 175.1226 fnsz 1.0000', '175.1226 232.2669 bckg 1.0000', '232.2669 254.6669 fnsz 1.0000', '254.6669 301.3669 bckg 1.0000', '301.3669 330.1669 fnsz 1.0000', '330.1669 421.1443 bckg 1.0000', '421.1443 469.2443 fnsz 1.0000', '469.2443 527.5659 bckg 1.0000', '527.5659 563.3836 fnsz 1.0000', '563.3836 620.9495 bckg 1.0000', '620.9495 649.3495 fnsz 1.0000', '649.3495 660.8443 bckg 1.0000', '660.8443 688.5443 fnsz 1.0000', '688.5443 712.3828 bckg 1.0000', '712.3828 734.4777 fnsz 1.0000', '734.4777 760.7056 bckg 1.0000', '760.7056 795.5056 fnsz 1.0000', '795.5056 844.5292 bckg 1.0000', '844.5292 879.4292 fnsz 1.0000', '879.4292 973.4482 bckg 1.0000', '973.4482 989.5459 fnsz 1.0000', '989.5459 1058.5659 bckg 1.0000', '1058.5659 1070.0659 fnsz 1.0000', '1070.0659 1100.3200 bckg 1.0000', '1100.3200 1128.4003 fnsz 1.0000', '1128.4003 1172.3390 bckg 1.0000', '1172.3390 1205.4390 fnsz 1.0000', '1205.4390 1270.6213 bckg 1.0000', '1270.6213 1301.0512 fnsz 1.0000', '1301.0512 1359.6049 bckg 1.0000', '1359.6049 1392.2049 fnsz 1.0000', '1392.2049 1451.5387 bckg 1.0000', '1451.5387 1460.9833 fnsz 1.0000', '1460.9833 1462.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 78.8616 bckg 1.0000', '78.8616 198.0213 cpsz 1.0000', '198.0213 290.6275 bckg 1.0000', '290.6275 350.8045 cpsz 1.0000', '350.8045 461.3872 bckg 1.0000', '461.3872 699.7115 cpsz 1.0000', '699.7115 769.2059 bckg 1.0000', '769.2059 832.0000 cpsz 1.0000', '832.0000 833.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 1.0000 bckg 1.0000', '1.0000 27.4649 cpsz 1.0000', '27.4649 32.6243 bckg 1.0000', '32.6243 173.6165 cpsz 1.0000', '173.6165 275.1951 bckg 1.0000', '275.1951 337.3819 cpsz 1.0000', '337.3819 415.6944 bckg 1.0000', '415.6944 486.3987 cpsz 1.0000', '486.3987 494.4443 bckg 1.0000', '494.4443 553.0000 cpsz 1.0000', '553.0000 555.0000 bckg 1.0000', '']\n",
      "['version = tse_v1.0.0', '', '0.0000 433.1728 bckg 1.0000', '433.1728 553.1728 fnsz 1.0000', '553.1728 1195.4457 bckg 1.0000', '1195.4457 1271.0676 fnsz 1.0000', '1271.0676 1376.0000 bckg 1.0000', '']\n"
     ]
    }
   ],
   "source": [
    "for i, element in enumerate(positive):\n",
    "    file = open(element, \"r\")\n",
    "    file = file.read()\n",
    "    file = file.split('\\n')\n",
    "    print(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(30, 300750)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x840857cc0>"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filename = positive[0]\n",
    "#f = pyedflib.EdfReader(filename[:-3]+'edf')\n",
    "n = f.signals_in_file\n",
    "signal_labels = f.getSignalLabels()\n",
    "sigbufs = np.zeros((n, f.getNSamples()[0]))\n",
    "print(sigbufs.shape)\n",
    "for i in np.arange(n-3):\n",
    "    sigbufs[i, :] = f.readSignal(i)\n",
    "plt.figure(figsize=(12, 12))\n",
    "for i in range(1):\n",
    "    plt.plot(np.arange(1, sigbufs.shape[1]+1), sigbufs[0]-sigbufs[10])\n",
    "plt.plot()\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['version = tse_v1.0.0', '', '0.0000 260.5028 bckg 1.0000', '260.5028 298.0223 gnsz 1.0000', '298.0223 742.2754 bckg 1.0000', '742.2754 772.6849 fnsz 1.0000', '772.6849 1203.0000 bckg 1.0000', '']\n"
     ]
    }
   ],
   "source": [
    "file = open(positive[0], \"r\")\n",
    "file = file.read()\n",
    "file = file.split('\\n')\n",
    "print(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'EEG O1-LE'"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "signal_labels[10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "193000"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "772*250"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30.0"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "9022500/300750"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'version = lbl_v1.0.0',\n",
       " '',\n",
       " 'montage = 0, FP1-F7: EEG FP1-REF --  EEG F7-REF',\n",
       " 'montage = 1, F7-T3:  EEG F7-REF  --  EEG T3-REF',\n",
       " 'montage = 2, T3-T5:  EEG T3-REF  --  EEG T5-REF',\n",
       " 'montage = 3, T5-O1:  EEG T5-REF  --  EEG O1-REF',\n",
       " 'montage = 4, FP2-F8: EEG FP2-REF --  EEG F8-REF',\n",
       " 'montage = 5, F8-T4:  EEG F8-REF  --  EEG T4-REF',\n",
       " 'montage = 6, T4-T6:  EEG T4-REF  --  EEG T6-REF',\n",
       " 'montage = 7, T6-O2:  EEG T6-REF  --  EEG O2-REF',\n",
       " 'montage = 8, A1-T3:  EEG A1-REF  --  EEG T3-REF',\n",
       " 'montage = 9, T3-C3:  EEG T3-REF  --  EEG C3-REF',\n",
       " 'montage = 10, C3-CZ:  EEG C3-REF  --  EEG CZ-REF',\n",
       " 'montage = 11, CZ-C4:  EEG CZ-REF  --  EEG C4-REF',\n",
       " 'montage = 12, C4-T4:  EEG C4-REF  --  EEG T4-REF',\n",
       " 'montage = 13, T4-A2:  EEG T4-REF  --  EEG A2-REF',\n",
       " 'montage = 14, FP1-F3: EEG FP1-REF --  EEG F3-REF',\n",
       " 'montage = 15, F3-C3:  EEG F3-REF  --  EEG C3-REF',\n",
       " 'montage = 16, C3-P3:  EEG C3-REF  --  EEG P3-REF',\n",
       " 'montage = 17, P3-O1:  EEG P3-REF  --  EEG O1-REF',\n",
       " 'montage = 18, FP2-F4: EEG FP2-REF --  EEG F4-REF',\n",
       " 'montage = 19, F4-C4:  EEG F4-REF  --  EEG C4-REF',\n",
       " 'montage = 20, C4-P4:  EEG C4-REF  --  EEG P4-REF',\n",
       " 'montage = 21, P4-O2:  EEG P4-REF  --  EEG O2-REF',\n",
       " '',\n",
       " 'number_of_levels = 1',\n",
       " '',\n",
       " 'level[0] = 1',\n",
       " '',\n",
       " \"symbols[0] = {0: '(null)', 1: 'spsw', 2: 'gped', 3: 'pled', 4: 'eyem', 5: 'artf', 6: 'bckg', 7: 'seiz', 8: 'fnsz', 9: 'gnsz', 10: 'spsz', 11: 'cpsz', 12: 'absz', 13: 'tnsz', 14: 'cnsz', 15: 'tcsz', 16: 'atsz', 17: 'mysz'}\",\n",
       " '',\n",
       " 'label = {0, 0, 0.0000, 260.5028, 0, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 260.5028, 287.5223, 0, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 287.5223, 742.8997, 0, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 742.8997, 772.6849, 0, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 772.6849, 1203.0000, 0, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 262.9944, 1, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
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       " 'label = {0, 0, 772.6849, 1203.0000, 14, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
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       " 'label = {0, 0, 287.5223, 1203.0000, 15, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
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       " 'label = {0, 0, 0.0000, 266.9944, 17, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
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       " 'label = {0, 0, 289.3618, 742.8997, 19, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 742.8997, 772.6849, 19, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 772.6849, 1203.0000, 19, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 266.9944, 20, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 266.9944, 287.5223, 20, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 287.5223, 1203.0000, 20, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 0.0000, 262.9944, 21, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 262.9944, 298.0223, 21, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " 'label = {0, 0, 298.0223, 1203.0000, 21, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}',\n",
       " '']"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = open(positive[0][:-3] + 'lbl', \"r\")\n",
    "file = file.read()\n",
    "file = file.split('\\n')\n",
    "file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
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